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Transient Stability Estimation Using Artificial Intelligence Methodology: An Inductive Inference Approach
Sixth Middle-East Power Systems Conference (MEPCON’98), Mansoura, Egypt, December 1998 (1998)
  • Almoataz Youssef Abdelaziz
Abstract

Many techniques are used for Transient Stability (TS) estimation of synchronous generators encompassing traditional time domain state numerical integration, Lyapunov based methods, probabilistic approaches and Artificial Intelligence (AI) techniques like pattern recognition and recently neural networks. This paper examines another recently proposed artificial intelligence technique to tackle the transient stability problem. The technique is based on the Inductive Inference Reasoning approach which belongs to a particular family of Machine Learning from Examples. Not only steady state but transient attributes are also used for transient stability estimation so as to reflect machine dynamics and network changes due to faults. The approach is tested on a 3-generator standard test power system. The performance evaluation demonstrated satisfactory results in early detection of machine instability. The advantage of this approach is that it is straightforward and simple for on-line implementation.

Publication Date
December, 1998
Citation Information
Almoataz Youssef Abdelaziz. "Transient Stability Estimation Using Artificial Intelligence Methodology: An Inductive Inference Approach" Sixth Middle-East Power Systems Conference (MEPCON’98), Mansoura, Egypt, December 1998 (1998)
Available at: http://works.bepress.com/almoataz_abdelaziz/8/